Validation of a New Malnutrition Screening Tool for Hospitalized Pregnant Women.

Thi Thu Lieu Nguyen, Thu Huyen Doan, Kieu Trang Ha, Hien Anh Le, Thi Tu Anh Tran, Thi Thanh Xuan Le, Thi Van Anh Nguyen, Thi Huong Le, Thi My Thuc Luu
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Abstract

Objectives: The Screening for Obstetric Undernutrition in Pregnancy Detection (SOUND-P) is a questionnaire designed to assess the nutrition status of hospitalized pregnant women. The aim of this study was to evaluate the validity and reliability of the SOUND-P among inpatients.

Methods: A total of 200 pregnant women were admitted to the National Hospital of Obstetrics and Gynecology, Vietnam from November 2023 to January 2024. Nutritional risk screened by SOUND-P was compared with the International Federation of Gynecology and Obstetrics Nutrition Checklist, the obstetric nutritional risk screening, composite diagnostic criteria, and estimated fetal weight. We determined sensitivity, specificity, positive predictive values, negative predictive values, receiver operator characteristics curve, and the best cut-off scores. Inter-rater reliability was assessed using κ measurements.

Results: Using SOUND-P, the optimal cut-off score to identify malnourished pregnant women was 1, with 62.5% of patients at risk of malnutrition. The percentage agreement between dietitian and nurse was 98.0%, with a κ value of 0.96 (95% CI 0.94-1.00). SOUND-P demonstrated sensitivity ranging from 80.65% to 90.70%, specificity ranging from 40.11% to 45.22%, positive predictive values from 12.80% to 31.20%, and negative predictive values from 92.00% to 97.33%. The areas under the receiver operating characteristic curve for SOUND-P were above 0.6.

Conclusions: The SOUND-P is a valid and reliable nutrition screening tool for determining malnutrition risk in hospitalized pregnant women.

一种新的住院孕妇营养不良筛查工具的验证
目的:妊娠检测中产科营养不良筛查(SOUND-P)是一份评估住院孕妇营养状况的问卷。本研究的目的是评估SOUND-P在住院病人中的效度和信度。方法:2023年11月至2024年1月在越南国立妇产科医院住院的200名孕妇。将SOUND-P筛查的营养风险与FIGO营养检查表、产科营养风险筛查、综合诊断标准和估计胎儿体重进行比较。我们确定了敏感性、特异性、阳性预测值(PPV)、阴性预测值(NPV)、接受者操作者特征曲线和最佳截止分数。利用kappa测量法确定了各参数间的信度。结果:使用SOUND-P,识别营养不良孕妇的最佳临界值为1,62.5%的患者存在营养不良风险。营养师和护士之间的一致性百分比为98.0%,kappa值为0.96 (95% CI 0.94 - 1.00)。SOUND-P的敏感性为80.65% ~ 90.70%,特异性为40.11% ~ 45.22%,PPV为12.80% ~ 31.20%,NPV为92.00% ~ 97.33%。SOUND-P的ROC曲线下面积均在0.6以上。结论:SOUND-P是一种确定住院孕妇营养不良风险的有效、可靠的营养筛查工具。
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